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faculty
Paul Gendron, PhD
Associate Professor
Electrical & Computer Engineering
Contact
508-999-8510
508-999-8489
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Science & Engineering 214D
Education
| 1999 | Worcester Polytechnic Institute | PhD in Electrical Engineering |
| 1993 | Virginia Tech | MS in Electrical Engineering |
| 1985 | University of Massachusetts | BS in Electrical Engineering |
Teaching
Programs
Programs
Teaching
Courses
Random variables and probabilistic description of signals and systems. The course provides the analytical tools for studying random phenomena in engineering systems and provides graduate students with an extensive treatment of probability theory, Bayes theorem, random variables, distribution and density functions, conditional distributions, moments, functions of random variables, characteristic functions, stochastic processes, Gaussian processes, stationary processes, correlation functions, power spectral density, response of systems to random inputs, mean square error estimation, filtering and prediction, and noise analysis. The course prepares students for a wide range of courses in communications, signal processing, acoustics, control, and other areas of engineering in which random signals and systems have an important role.
Satisfies the Research Skills component of the ELE PhD qualifier. Student is evaluated by at least 3 faculty based on an oral presentation and defense of a small research project. Course is graded pass/fail.
Research
Research awards
- $ 269,704 awarded by Office of Naval Research for UMassD MUST I: Incremental Learning with Human-in-the-Loop for Underwater Anomaly Detection
- $ 325,747 awarded by Office of Naval Research for UMassD MUST III: Underwater Signal Processing for Remote Sensing and Communications
- $ 476,926 awarded by Office of Naval Research for UMassD MUST I: Deep Learning-Enabled Detection and Classification of Acoustic Signals in Underwater Channels
Research
Research interests
- Adaptive filtering for angle-delay-Doppler spread channels
- Low probability of detection acoustic communications
- Magnetic anomaly detection and tracking
- Seismic event detection and classification
Paul J. Gendron received his PhD from Worcester Polytechnic Institute, his MS from Viginia Tech and his BS from the University of Massachusetts Amherst, all in Electrical Engineering. His work is broad in the field of statistical signal processing, detection and estimation theory. His contributions range from seismic event detection and classification to adaptive filtering and low probability of detection acoustic communications. He was with the Naval Research Laboratory from 2000 to 2007 and with the Spawar Systems Center Pacific from 2008 to 2012. In 2000, he was the recipient of an Office of Naval Research research fellowship award for his work with the Acoustic Division at the Naval Research Laboratory. In 2006, he served as an Office of Naval Research Visiting Scientist at DRDC-Atlantic, Canada. Dr. Gendron presently conducts research for the Office of Naval Research related to the discover and invention of enabling technologies for undersea surveillance.